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About neo4j

Neo4j is a graph database software from Neo4j that connects data as it's stored for real-time recommendations. It provides Neo4j AuraDB fully managed graph database as a service, Neo4j Graph Database self-managed deployable anywhere, and Neo4j Aura Graph Analytics fully managed graph analytics as a service to help perform capable, complex queries at scale and speed. This platform enables users to change their data into knowledge for deep, contextual understanding, managing context to build smarter agentic AI applications. Neo4j supports various deployment options catering to diverse user needs. Key capabilities: GRAPH DATABASE Neo4j AuraDB Neo4j Graph Database GRAPH ANALYTICS Neo4j Aura Graph Analytics Best for: developers and data scientists that need reliable graph database solutions.

neo4j Details

Vendor
neo4j
Year Launched
2007
Location
San Mateo, California
Deployment
cloud
Training Options
videos, demo, account manager, community
Countries Served
All Countries
Languages
Kotlin, Swift, Java, Python, TypeScript
Users
Data Analysts, GIS Specialists, Urban Planners, Business Intelligence Analysts, Location Strategists, Data Scientists, Engineers
Industries Served
Healthcare, Education, Finance, Retail
Tags
GIS, neo4j, mapping, spatial analysis, data visualization, network analysis, graph database

neo4j's In-App Market Place

Does neo4j have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), NZD ($), CHF (CHF), SEK (kr), NOK (kr), DKK (kr)

Pros & Cons

  • Graph-native storage makes traversing relationships extremely fast.
  • Query language Cypher is expressive and intuitive for graph patterns.
  • Flexible schema enables easy model changes without schema migrations.
  • ACID compliance ensures consistency and reliable transactions.
  • Excellent for deeply connected data like social networks, recommendations, networks.
  • Scaling writes or horizontal sharding is challenging and limited.
  • Bulk data loading or large imports can be slower and resource-intensive.
  • Storage overhead may be high compared to relational DB for simple data.
  • Not ideal for simple tabular data, relational or document DB may outperform.
  • Enterprise license can get expensive, the cost may discourage small teams.

neo4j's Support Options

Chatbot

Available

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